Implementation:Explodinggradients Ragas MemorableNames Class

Knowledge Sources	Explodinggradients_Ragas
Domains	Utilities, Naming
Last Updated	2026-02-10 00:00 GMT

Overview

Generator for memorable, unique Docker-style names combining adjectives with scientist names for datasets and experiments.

Description

MemorableNames generates human-readable unique names by combining random adjectives (112 options) with famous scientist names (76 options). It uses a used-names set to ensure uniqueness, with fallback to random suffixes after 100 attempts. A global instance memorable_names is available for convenient access.

Usage

Use this class when you need unique human-readable names for datasets or experiments, typically via the global memorable_names instance.

Code Reference

Source Location

• Repository: Explodinggradients_Ragas
• File: src/ragas/backends/utils.py
• Lines: 8-219

Signature

class MemorableNames:
    def __init__(self) -> None:
        ...
    def generate_name(self) -> str:
        ...
    def generate_unique_name(self) -> str:
        ...
    def generate_unique_names(self, count: int) -> List[str]:
        ...

Import

from ragas.backends.utils import memorable_names, MemorableNames

I/O Contract

Inputs

Name	Type	Required	Description
count	int	Yes (for generate_unique_names)	Number of unique names to generate

Outputs

Name	Type	Description
generate_name returns	str	Random adjective-scientist name
generate_unique_name returns	str	Unique adjective-scientist name
generate_unique_names returns	List[str]	Multiple unique names

Usage Examples

from ragas.backends.utils import memorable_names

# Generate a unique name
name = memorable_names.generate_unique_name()
print(name)  # e.g., "brilliant-einstein"

# Generate multiple unique names
names = memorable_names.generate_unique_names(5)
print(names)